b'Yiming Xu'

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219 publications
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90 publications
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74 publications
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research

∙ 04/13/2023

Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires

Real-time forecasting of travel demand during wildfire evacuations is cr...

0 Xiaojian Zhang, et al. ∙

research

∙ 03/11/2023

An approximate control variates approach to multifidelity distribution estimation

Forward simulation-based uncertainty quantification that studies the out...

0 Ruijian Han, et al. ∙

research

∙ 02/06/2023

APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning

Practical natural language processing (NLP) tasks are commonly long-tail...

0 Sunyi Chi, et al. ∙

research

∙ 10/25/2022

Wasserstein Archetypal Analysis

Archetypal analysis is an unsupervised machine learning method that summ...

0 Katy Craig, et al. ∙

research

∙ 09/16/2022

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning

The growing significance of ridesourcing services in recent years sugges...

0 Xiaojian Zhang, et al. ∙

research

∙ 09/13/2022

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting

Least squares regression is a ubiquitous tool for building emulators (a....

0 Nuojin Cheng, et al. ∙

research

∙ 09/13/2022

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems

Approximate solutions to large least squares problems can be computed ef...

0 Osman Asif Malik, et al. ∙

research

∙ 07/08/2022

Nonparametric Embeddings of Sparse High-Order Interaction Events

High-order interaction events are common in real-world applications. Lea...

0 Zheng Wang, et al. ∙

research

∙ 11/04/2021

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification

Sparse representation-based classification (SRC) has attracted much atte...

0 Xiaohui Yang, et al. ∙

research

∙ 11/02/2021

Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach

Real-time demand forecasting for shared micromobility can greatly enhanc...

0 Yiming Xu, et al. ∙

research

∙ 09/16/2021

Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data

With increased frequency and intensity due to climate change, wildfires ...

0 Xilei Zhao, et al. ∙

research

∙ 08/12/2021

Probabilistic methods for approximate archetypal analysis

Archetypal analysis is an unsupervised learning method for exploratory d...

0 Ruijian Han, et al. ∙

research

∙ 05/10/2021

Budget-limited distribution learning in multifidelity problems

Multifidelity methods are widely used for statistical estimation of quan...

0 Yiming Xu, et al. ∙

research

∙ 03/29/2021

A bandit-learning approach to multifidelity approximation

Multifidelity approximation is an important technique in scientific comp...

0 Yiming Xu, et al. ∙

research

∙ 03/11/2021

Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data

The growing popularity of e-scooters and their rapid expansion across ur...

0 Xiang Yan, et al. ∙

research

∙ 02/15/2021

A Global to Local Double Embedding Method for Multi-person Pose Estimation

Multi-person pose estimation is a fundamental and challenging problem to...

0 Yiming Xu, et al. ∙

research

∙ 01/11/2021

Randomized weakly admissible meshes

A weakly admissible mesh (WAM) on a continuum real-valued domain is a se...

0 Yiming Xu, et al. ∙

research

∙ 01/07/2021

Infections Forecasting and Intervention Effect Evaluation for COVID-19 via a Data-Driven Markov Process and Heterogeneous Simulation

The Coronavirus Disease 2019 (COVID-19) pandemic has caused tremendous a...

0 Quan-Lin Li, et al. ∙

research

∙ 12/22/2020

Open Set Domain Adaptation by Extreme Value Theory

Common domain adaptation techniques assume that the source domain and th...

0 Yiming Xu, et al. ∙

research

∙ 12/08/2020

Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels

In model serving, having one fixed model during the entire often life-lo...

0 Yiming Xu, et al. ∙

research

∙ 10/19/2020

Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data

Emerging micromobility services (e.g., e-scooters) have a great potentia...

0 Yiming Xu, et al. ∙

research

∙ 10/16/2020

Consistency of archetypal analysis

Archetypal analysis is an unsupervised learning method that uses a conve...

0 Braxton Osting, et al. ∙

research

∙ 04/13/2020

Analysis of The Ratio of ℓ_1 and ℓ_2 Norms in Compressed Sensing

We first propose a novel criterion that guarantees that an s-sparse sign...

0 Yiming Xu, et al. ∙

research

∙ 02/20/2020

A General Pairwise Comparison Model for Extremely Sparse Networks

Statistical inference using pairwise comparison data has been an effecti...

0 Ruijian Han, et al. ∙

research

∙ 11/11/2019

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation

We study the problem of visual question answering (VQA) in images by exp...

0 Yiming Xu, et al. ∙

research

∙ 03/07/2019

Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data

Ontology learning is a critical task in industry, dealing with identifyi...

20 Yiming Xu, et al. ∙

research

∙ 04/27/2018

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks

k-Nearest Neighbors is one of the most fundamental but effective classif...

0 Yiming Xu, et al. ∙

research

∙ 03/10/2018

Low Rank Variation Dictionary and Inverse Projection Group Sparse Representation Model for Breast Tumor Classification

Sparse representation classification achieves good results by addressing...

0 Xiaohui Yang, et al. ∙

research

∙ 12/26/2017

Cooperative Transmission for Physical Layer Security by Exploring Social Awareness

Social awareness and social ties are becoming increasingly fashionable w...

0 Yiming Xu, et al. ∙